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Total 4982 results found since Jan 2013.

Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review
AbstractThe challenges associated with diagnosing and treating cardiovascular disease (CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms. Existing clinical risk scores are inadequate in predicting cardiac events, and conventional risk factors alone do not accurately classify many individuals at risk. Several CVD biomarkers consider the multiple pathways involved in the development of atherosclerosis, which is the primary cause of CVD/Stroke in RA. To enhance the accuracy of CVD/Stroke risk assessment in the RA framework, a proposed approach involves combining genomic-based biomarkers (GBBM) ...
Source: Rheumatology International - September 12, 2023 Category: Rheumatology Source Type: research

Acute Ischaemic Stroke Prediction from Physiological Time Series Patterns
Conclusion We demonstrated that using trend pattern features in prediction methods improved the accuracy of stroke outcome prediction. Therefore, trend patterns of physiological time series data have an important role in the early treatment of patients with acute ischaemic stroke.
Source: Australasian Medical Journal - AMJ - May 9, 2013 Category: Journals (General) Source Type: research

Tissue hypoxia during ischemic stroke: Adaptive clues from hypoxia-tolerant animal models.
We describe specific physiological and molecular adaptations employed by different animals' models of hypoxia tolerance in aquatic and terrestrial environments. We highlight how these adaptations might provide potential clues on strategies to adapt for the clinical management of tissue hypoxia during conditions such as stroke where oxygen demand fails to match the supply. PMID: 25738761 [PubMed - as supplied by publisher]
Source: Brain Research Bulletin - March 1, 2015 Category: Neurology Authors: Nathaniel TI, Williams-Hernandez A, Hunter LA, Liddy C, Peffley DM, Imeh-Nathaniel A Tags: Brain Res Bull Source Type: research

A study on the natural history of scanning behaviour in patients with visual field defects after stroke
DiscussionThe longitudinal comparison of patients who do and do not learn compensatory scanning techniques may reveal important prognostic markers of natural recovery. Importantly, it may also help to determine the most effective treatment window for visual rehabilitation.
Source: BMC Neurology - April 24, 2015 Category: Neurology Authors: Tobias LoetscherCelia ChenSophie WignallAndreas BullingSabrina HoppeOwen ChurchesNicole ThomasMichael NichollsAndrew Lee Source Type: research

Association between genetic variation in the dopamine system and motor recovery after stroke.
CONCLUSION: These data suggest that genetic variation of dopamine-related genes may affect motor recovery after stroke and that COMT polymorphism could be useful for predicting motor recovery. PMID: 27689550 [PubMed - as supplied by publisher]
Source: Restorative Neurology and Neuroscience - October 2, 2016 Category: Neurology Tags: Restor Neurol Neurosci Source Type: research

Clinical Evaluation of the Patient With Acute Stroke
This article reviews the clinical evaluation of the patient with acute stroke, including key questions in the focused stroke history, important aspects of the National Institutes of Health Stroke Scale and focused neurologic examination, and the significance of the basic head CT scan in informing a timely treatment decision. Recent Findings: Advances in both stroke treatment and enhanced diagnostics support an evolving paradigm for acute stroke care, ranging from the prehospital setting to the rehabilitative setting. An international emphasis on best practice strategies promotes efficiency and standardization in stroke sy...
Source: CONTINUUM: Lifelong Learning in Neurology - February 1, 2017 Category: Neurology Tags: Review Articles Source Type: research

Executive Function Is Associated With Off-Line Motor Learning in People With Chronic Stroke.
CONCLUSIONS: This is the first study to demonstrate that better performance on an executive function test of attention and set-shifting predicts a higher magnitude of off-line motor learning in individuals with chronic stroke. This emphasizes the need to consider attention and set-shifting abilities of individuals following stroke as these abilities are associated with motor learning. This in turn could affect learning of activities of daily living and impact functional recovery following stroke.Video Abstract available for more insights from the authors (see Video, Supplemental Digital Content 1, http://links.lww.com/JNPT...
Source: Physical Therapy - March 2, 2017 Category: Physiotherapy Authors: Al-Dughmi M, Al-Sharman A, Stevens S, Siengsukon CF Tags: J Neurol Phys Ther Source Type: research

The unsolved role of heightened connectivity from the unaffected hemisphere to paretic arm muscles in chronic stroke.
CONCLUSIONS: Despite enhanced ipsilateral connectivity, arm function and learning was related most strongly to contralateral pathway integrity from the stroke hemisphere. SIGNIFICANCE: Further work is needed to decipher the role of ipsilateral connections. PMID: 30925310 [PubMed - as supplied by publisher]
Source: Clinical Neurophysiology - March 17, 2019 Category: Neurology Authors: Hammerbeck U, Hoad D, Greenwood R, Rothwell JC Tags: Clin Neurophysiol Source Type: research

Endpoint accuracy of goal-directed ankle movements correlates to over-ground walking in stroke.
CONCLUSIONS: Impaired accuracy of goal-directed, ankle movements is correlated to over-ground walking in stroke. SIGNIFICANCE: Quantifying accuracy of goal-directed ankle movements may provide insights into walking function post-stroke. PMID: 31005051 [PubMed - as supplied by publisher]
Source: Clinical Neurophysiology - April 12, 2019 Category: Neurology Authors: Lodha N, Patel P, Casamento-Moran A, Gauger K, Christou EA Tags: Clin Neurophysiol Source Type: research

Safety and efficacy of co-careldopa as an add-on therapy to occupational and physical therapy in patients after stroke (DARS): a randomised, double-blind, placebo-controlled trial
Publication date: June 2019Source: The Lancet Neurology, Volume 18, Issue 6Author(s): Gary A Ford, Bipin B Bhakta, Alastair Cozens, Suzanne Hartley, Ivana Holloway, David Meads, John Pearn, Sharon Ruddock, Catherine M Sackley, Eirini-Christina Saloniki, Gillian Santorelli, Marion F Walker, Amanda J FarrinSummaryBackgroundDopamine is a key modulator of striatal function and learning and might improve motor recovery after stroke. Previous small trials of dopamine agonists after stroke provide equivocal evidence of effectiveness on improving motor recovery. We aimed to assess the safety and efficacy of co-careldopa plus routi...
Source: The Lancet Neurology - May 22, 2019 Category: Neurology Source Type: research

Longitudinal Analysis of Stroke Patients' Brain Rhythms during an Intervention with a Brain-Computer Interface.
Abstract Stroke is a leading cause of motor disability worldwide. Upper limb rehabilitation is particularly challenging since approximately 35% of patients recover significant hand function after 6 months of the stroke's onset. Therefore, new therapies, especially those based on brain-computer interfaces (BCI) and robotic assistive devices, are currently under research. Electroencephalography (EEG) acquired brain rhythms in alpha and beta bands, during motor tasks, such as motor imagery/intention (MI), could provide insight of motor-related neural plasticity occurring during a BCI intervention. Hence, a longitudin...
Source: Neural Plasticity - May 22, 2019 Category: Neurology Authors: Carino-Escobar RI, Carrillo-Mora P, Valdés-Cristerna R, Rodriguez-Barragan MA, Hernandez-Arenas C, Quinzaños-Fresnedo J, Galicia-Alvarado MA, Cantillo-Negrete J Tags: Neural Plast Source Type: research

IJERPH, Vol. 16, Pages 1876: The Use of Deep Learning to Predict Stroke Patient Mortality
e Lim The increase in stroke incidence with the aging of the Korean population will rapidly impose an economic burden on society. Timely treatment can improve stroke prognosis. Awareness of stroke warning signs and appropriate actions in the event of a stroke improve outcomes. Medical service use and health behavior data are easier to collect than medical imaging data. Here, we used a deep neural network to detect stroke using medical service use and health behavior data; we identified 15,099 patients with stroke. Principal component analysis (PCA) featuring quantile scaling was used to extract relevant background feat...
Source: International Journal of Environmental Research and Public Health - May 27, 2019 Category: Environmental Health Authors: Songhee Cheon Jungyoon Kim Jihye Lim Tags: Article Source Type: research

Finding the Intersection of Neuroplasticity, Stroke Recovery, and Learning: Scope and Contributions to Stroke Rehabilitation.
Conclusions: Our novel approach developed for this review allowed the identification of the common themes/topics that intersect the concepts of neuroplasticity, stroke recovery, and learning. These may be synthesised to advance a neuroscience-informed approach to stroke rehabilitation. We also identified gaps in available literature using this approach. These may help guide future targeted research. PMID: 31191637 [PubMed - in process]
Source: Neural Plasticity - June 15, 2019 Category: Neurology Authors: Carey L, Walsh A, Adikari A, Goodin P, Alahakoon D, De Silva D, Ong KL, Nilsson M, Boyd L Tags: Neural Plast Source Type: research

Deficit of Motor Skill Acquisition on the Upper Limb Ipsilesional to the Injured Hemisphere in Individuals with Stroke.
CONCLUSIONS Our findings provide evidence that individuals with stroke might have difficulty in performing visuo-spatial movements and acquiring motor skills with the ipsilateral upper limb. Improvement of ipsilesional limb function increases self-care activity in daily life. Therefore, we recommend that clinicians adopt remedial strategies for ipsilesional limbs. PMID: 31283752 [PubMed - in process]
Source: Medical Science Monitor - July 11, 2019 Category: Research Tags: Med Sci Monit Source Type: research

Temporal Features of Muscle Synergies in Sit-to-Stand Motion Reflect the Motor Impairment of Post-Stroke Patients
Sit-to-stand (STS) motion is an important daily activity, and many post-stroke patients have difficulty performing STS motion. Previous studies found that there are four muscle synergies (synchronized muscle activations) in the STS motion of healthy adults. However, for post-stroke patients, it is unclear whether muscle synergies change and which features primarily reflect motor impairment. Here, we use a machine learning method to demonstrate that temporal features in two muscle synergies that contribute to hip rising and balance maintenance motion reflect the motor impairment of post-stroke patients. Analyzing the muscle...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - September 30, 2019 Category: Neuroscience Source Type: research